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Paper Citation Record · LEDGER

Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.05409.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.05409 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:46:43.599362Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T23:26:12.787211Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 98a53005-a589-4721-9d72-b65c5d036bc9 · inbound

Reasoning Bias of Next Token Prediction Training cites this paper.

Reasoning Bias of Next Token Prediction Training Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-09T13:46:43.599362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:46:43.599362Z digest=sha256:b9ef22bb5de37882307198f1217264fb8b022662029a31cb55ac0df92cd2181e

Observation 13604e9b-b46d-403b-b4c8-146ca1bdf252 · inbound

ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity cites this paper.

ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:26:12.790391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T17:07:18.278784Z digest=sha256:314b85af858bf0376b19aa8255e7d2d80c1fd1c10925db8da9d10cd131054c47

Observation 4efd00a0-ec58-49a5-8b3d-9ef47b08e1f4 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T17:31:50.701835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:31:50.701835Z digest=sha256:9b5c3b043e58e4f28b93d14a1cee69f7bb64bf579ebf96c525a94c10fef878ec